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The transmission mechanism of monetary policy explains how monetary policy works - which variables respond to interest rate changes, when, why, how, how much and how predictably. It is vital that central banks and their observers, worldwide, understand the transmission mechanism so that they know what monetary policy can do and what it should do to stabilize inflation and output. The volume sets out different aspects of the transmission mechanism. Some chapters scrutinize the relevance of practical issues such as asymmetries, recent structural changes and estimation errors using data on the USA, the Euro area and developing countries. Other chapters focus on modelling crucial aspects such as productivity, the exchange rate and the monetary sector. These issues are counterpointed by contributions that analyse monetary policy in Japan and the UK.
Bayesian methods combine the evidence from the data at hand with previous quantitative knowledge to analyse practical problems in a wide range of areas. The calculations were previously complex, but it is now possible to routinely apply Bayesian methods due to advances in computing technology and the use of new sampling methods for estimating parameters. Such developments together with the availability of freeware such as WINBUGS and R have facilitated a rapid growth in the use of Bayesian methods, allowing their application in many scientific disciplines, including applied statistics, public health research, medical science, the social sciences and economics. Following the success of the first edition, this reworked and updated book provides an accessible approach to Bayesian computing and analysis, with an emphasis on the principles of prior selection, identification and the interpretation of real data sets. The second edition: Provides an integrated presentation of theory, examples, applications and computer algorithms. Discusses the role of Markov Chain Monte Carlo methods in computing and estimation. Includes a wide range of interdisciplinary applications, and a large selection of worked examples from the health and social sciences. Features a comprehensive range of methodologies and modelling techniques, and examines model fitting in practice using Bayesian principles. Provides exercises designed to help reinforce the reader’s knowledge and a supplementary website containing data sets and relevant programs. Bayesian Statistical Modelling is ideal for researchers in applied statistics, medical science, public health and the social sciences, who will benefit greatly from the examples and applications featured. The book will also appeal to graduate students of applied statistics, data analysis and Bayesian methods, and will provide a great source of reference for both researchers and students. Praise for the First Edition: “It is a remarkable achievement to have carried out such a range of analysis on such a range of data sets. I found this book comprehensive and stimulating, and was thoroughly impressed with both the depth and the range of the discussions it contains.” – ISI - Short Book Reviews “This is an excellent introductory book on Bayesian modelling techniques and data analysis” – Biometrics “The book fills an important niche in the statistical literature and should be a very valuable resource for students and professionals who are utilizing Bayesian methods.” – Journal of Mathematical Psychology
"A book perfect for this moment" –Katherine M. O’Regan, Former Assistant Secretary, US Department of Housing and Urban Development More than fifty years after the passage of the Fair Housing Act, American cities remain divided along the very same lines that this landmark legislation explicitly outlawed. Keeping Races in Their Places tells the story of these lines—who drew them, why they drew them, where they drew them, and how they continue to circumscribe residents’ opportunities to this very day. Weaving together sophisticated statistical analyses of more than a century’s worth of data with an engaging, accessible narrative that brings the numbers to life, Keeping Races in Their Places exposes the entrenched effects of redlining on American communities. This one-of-a-kind contribution to the real estate and urban economics literature applies the author’s original geographic information systems analyses to historical maps to reveal redlining’s causal role in shaping today’s cities. Spanning the era from the Great Migration to the Great Recession, Keeping Races in Their Places uncovers the roots of the Black-white wealth gap, the subprime lending crisis, and today’s lack of affordable housing in maps created by banks nearly a century ago. Most of all, it offers hope that with the latest scholarly tools we can pinpoint how things went wrong—and what we must do to make them right.
The last decade has seen an outpouring of scholarship on the economics of the Great Depression. If there is anything approaching a consensus, it is a synthetic view which admits a role both for monetary policy mistakes and for the international monetary and financial system in transmitting those destabilizing impulses to the rest of the world. It explains the speed and extent of the subsequent decline in terms of both banking crises and the collapse of the gold standard, which conspired in placing deflationary pressure to different degrees on different countries. And, it explains the eventual recovery in terms of the abandonment of the gold standard, which facilitated the pursuit of stabilizing monetary policies, but also in terms of the restoration of stability to banking and financial systems, something that occurred at different times in different countries. One way of understanding the veneer of disputation on this consensus is that different elements dominated in different countries. For the United States, there is no denying the role of monetary policy mistakes in the onset of the Depression, whereas for other countries international monetary instability played the most important part.
This book by a leading authority on monetary policy offers a unique view of the subject from the perspectives of both scholar and practitioner. Frederic Mishkin is not only an academic expert in the field but also a high-level policymaker. He is especially well positioned to discuss the changes in the conduct of monetary policy in recent years, in particular the turn to inflation targeting. Monetary Policy Strategydescribes his work over the last ten years, offering published papers, new introductory material, and a summing up, "Everything You Wanted to Know about Monetary Policy Strategy, But Were Afraid to Ask," which reflects on what we have learned about monetary policy over the last thirty years. Mishkin blends theory, econometric evidence, and extensive case studies of monetary policy in advanced and emerging market and transition economies. Throughout, his focus is on these key areas: the importance of price stability and a nominal anch fiscal and financial preconditions for achieving price stability; central bank independence as an additional precondition; central bank accountability; the rationale for inflation targeting; the optimal inflation target; central bank transparency and communication; and the role of asset prices in monetary policy.
Controlling inflation is among the most important objectives of economic policy. By maintaining price stability, policy makers are able to reduce uncertainty, improve price-monitoring mechanisms, and facilitate more efficient planning and allocation of resources, thereby raising productivity. This volume focuses on understanding the causes of the Great Inflation of the 1970s and ’80s, which saw rising inflation in many nations, and which propelled interest rates across the developing world into the double digits. In the decades since, the immediate cause of the period’s rise in inflation has been the subject of considerable debate. Among the areas of contention are the role of monetary policy in driving inflation and the implications this had both for policy design and for evaluating the performance of those who set the policy. Here, contributors map monetary policy from the 1960s to the present, shedding light on the ways in which the lessons of the Great Inflation were absorbed and applied to today’s global and increasingly complex economic environment.